Plantar pressure‐based insole gait monitoring techniques for diseases monitoring and analysis: a review

JL Chen, YN Dai, NS Grimaldi, JJ Lin… - Advanced Materials …, 2022 - Wiley Online Library
Among diverse wearable techniques, insole‐based plantar pressure monitoring systems
have surged as a leading technology to monitor patient's chronic disease progression. Such …

Time series forecasting using fuzzy cognitive maps: a survey

O Orang, PC de Lima e Silva, FG Guimarães - Artificial Intelligence Review, 2023 - Springer
Among various soft computing approaches for time series forecasting, fuzzy cognitive maps
(FCMs) have shown remarkable results as a tool to model and analyze the dynamics of …

Extreme gradient boosting machine learning method for predicting medical treatment in patients with acute bronchiolitis

J Mateo, JM Rius-Peris, AI Maraña-Pérez… - Biocybernetics and …, 2021 - Elsevier
Acute bronchiolitis is the most common lower respiratory tract infection of infancy. About 2%
of infants under 12 months of age hospitalized with this condition each epidemic season …

Estimation of various walking intensities based on wearable plantar pressure sensors using artificial neural networks

HC Chen, Sunardi, BY Liau, CY Lin, VBH Akbari… - Sensors, 2021 - mdpi.com
Walking has been demonstrated to improve health in people with diabetes and peripheral
arterial disease. However, continuous walking can produce repeated stress on the plantar …

[HTML][HTML] Foot type classification using sensor-enabled footwear and 1D-CNN

Z Mei, K Ivanov, G Zhao, Y Wu, M Liu, L Wang - Measurement, 2020 - Elsevier
Poor selection of footwear, underestimation of foot health, sedentary life, and lack of
accessible foot screening can have significant long-term adverse effects on the health of …

Accuracy versus reliability-based modelling approaches for medical decision making

S Etemadi, M Khashei - Computers in Biology and Medicine, 2022 - Elsevier
Forecasting in the medical domain is critical to the quality of decisions made by physicians,
patients, and health planners. Modeling is one of the most important components of decision …

[HTML][HTML] A systematic review of artificial neural network techniques for analysis of foot plantar pressure

C Wang, K Evans, D Hartley, S Morrison, M Veidt… - Biocybernetics and …, 2024 - Elsevier
Plantar pressure distribution offers insights into foot function, gait mechanics, and foot-
related issues. This systematic review presents an analysis of the use of artificial neural …

[HTML][HTML] Blind Federated Learning without initial model

JL Salmeron, I Arévalo - Journal of Big Data, 2024 - Springer
Federated learning is an emerging machine learning approach that allows the construction
of a model between several participants who hold their own private data. This method is …

Carbon dioxide reforming of methane over Ni-based catalysts: Modeling the effect of process parameters on greenhouse gasses conversion using supervised …

BV Ayodele, MA Alsaffar, SI Mustapa… - … and Processing-Process …, 2021 - Elsevier
This study aims to model the effect of process parameters on the conversion of carbon
dioxide (CO 2) and methane (CH 4) during reforming reaction over Nickel (Ni) catalysts …

A product styling design evaluation method based on multilayer perceptron genetic algorithm neural network algorithm

J Wu - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
Products no longer exist simply as carriers of useful functions, but more and more
consumers are beginning to pay attention to the spiritual aspects of the feelings brought by …